Caroline Graff
Impact in
- Neurology top 0.05%
- Amyotrophic Lateral Sclerosis Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Physiology top 0.05%
- Alzheimer's disease research and treatments
Papers in
- Neurology 118
- Amyotrophic Lateral Sclerosis Research 99
- Parkinson's Disease Mechanisms and Treatments 20
- Physiology 136
- Alzheimer's disease research and treatments 127
- Co-authors
- Bengt G. Winblad (30 shared papers)Nils‐Göran Larsson (6 shared papers)Anders Oldfors (3 shared papers)Annica Rönnbäck (11 shared papers)Laura Fratiglioni (17 shared papers)Ove Almkvist (20 shared papers)Steinunn Þórðardóttir (17 shared papers)Étienne Challet (3 shared papers)
- Journals
- Alzheimer s & Dementia (38 papers)Neurobiology of Aging (21 papers)Neurology (18 papers)Brain (16 papers)Journal of Alzheimer s Disease (13 papers)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Caroline Graff
353 papers receiving 29.5k citations
Caroline Graff's Hit Papers
Peers
Comparison fields: 5 of 212
- Neurology 4.4k
- Physiology 10.0k
- Psychiatry and Mental health 5.7k
- Biological Psychiatry 851
- Neurology 4.7k
Countries citing papers authored by Caroline Graff
This map shows the geographic impact of Caroline Graff's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Caroline Graff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Graff more than expected).
Fields of papers citing papers by Caroline Graff
This network shows the impact of papers produced by Caroline Graff. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Caroline Graff. The network helps show where Caroline Graff may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline Graff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 364 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mild cognitive impairment – beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment Hit paper breakdown → | 2004 | 4160 |
| 2 | Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease Hit paper breakdown → | 2013 | 3446 |
| 3 | Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing Hit paper breakdown → | 2019 | 2087 |
| 4 | New insights into the genetic etiology of Alzheimer’s disease and related dementias Hit paper breakdown → | 2022 | 1436 |
| 5 | Gene-Wide Analysis Detects Two New Susceptibility Genes for Alzheimer's Disease Hit paper breakdown → | 2014 | 1332 |
| 6 | Defeating Alzheimer's disease and other dementias: a priority for European science and society Hit paper breakdown → | 2016 | 1301 |
| 7 | Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease Hit paper breakdown → | 2017 | 749 |
| 8 | Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis Hit paper breakdown → | 2015 | 454 |
| 9 | 2013 | 427 | |
| 10 | Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference Hit paper breakdown → | 2018 | 393 |
| 11 | 2000 | 382 | |
| 12 | 1999 | 360 | |
| 13 | Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology Hit paper breakdown → | 2021 | 337 |
| 14 | 2000 | 322 | |
| 15 | 2014 | 295 | |
| 16 | Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into its genetic architecture Hit paper breakdown → | 2021 | 292 |
| 17 | 2002 | 267 | |
| 18 | 2014 | 256 | |
| 19 | Age at symptom onset and death and disease duration in genetic frontotemporal dementia: an international retrospective cohort study Hit paper breakdown → | 2019 | 246 |
| 20 | 2016 | 243 |
About Caroline Graff
Caroline Graff is a scholar working on Neurology, Physiology, Psychiatry and Mental health, Neurology and Genetics, having authored 364 papers that have together received 30.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (127 papers), Amyotrophic Lateral Sclerosis Research (99 papers), Dementia and Cognitive Impairment Research (54 papers), Prion Diseases and Protein Misfolding (28 papers), Bioinformatics and Genomic Networks (27 papers), Genetic Associations and Epidemiology (23 papers), Mitochondrial Function and Pathology (22 papers) and Parkinson's Disease Mechanisms and Treatments (20 papers). The work is most often cited by research in Neurology (4.4k citations), Physiology (10.0k citations), Psychiatry and Mental health (5.7k citations), Biological Psychiatry (851 citations) and Neurology (4.7k citations). Caroline Graff has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Bengt G. Winblad, Nils‐Göran Larsson, Anders Oldfors, Annica Rönnbäck, Laura Fratiglioni, Ove Almkvist, Steinunn Þórðardóttir, Étienne Challet, Paul Pévet and Lina Keller. Their work appears in journals such as Alzheimer s & Dementia, Neurobiology of Aging, Neurology, Brain and Journal of Alzheimer s Disease.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.